CBSE Class 10 Sample Paper 2026 for Artificial Intelligence

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CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
Blue-print for Sample Question Paper for Class X (Session 2025-2026)
Max. Time: 2 Hours Max. Marks: 50
PART A - EMPLOYABILITY SKILLS (10 MARKS):
OBJECTIVE TYPE SHORT ANSWER
UNIT QUESTIONS TYPE QUESTIONS TOTAL
NAME OF THE UNIT
NO. QUESTIONS
1 MARK EACH 2 MARKS EACH

1 Communication Skills – II 1 1 2

2 Self-Management Skills – II 2 1 3

3 ICT Skills – II 1 1 2

4 Entrepreneurial Skills – II 1 1 2

5 Green Skills – II 1 1 2

TOTAL QUESTIONS 6 5 11

NO. OF QUESTIONS TO BE ANSWERED Any 4 Any 3 Any 7

TOTAL MARKS 1x4=4 2x3=6 10 MARKS

PART B - SUBJECT SPECIFIC SKILLS (40 MARKS):
OBJECTIVE SHORT DESCRIPTIVE/
UNIT TYPE ANSWER TYPE LONG ANS. TYPE TOTAL
NAME OF THE UNIT QUESTIONS QUESTIONS QUESTIONS
NO. QUESTIONS
1 MARK EACH 2 MARKS EACH 4 MARKS EACH
Unit 1: Revisiting AI
1 Project Cycle & Ethical 5 1 1 7
Frameworks for AI
Unit 2: Advanced
2 Concepts of Modeling 4 2 2 8
in AI

3 Unit 3: Evaluating 6 1 1 8
Models

4 Unit 5: Computer 4 1 - 5
Vision

5 Unit 6: Natural 5 1 1 7
Language Processing
TOTAL QUESTIONS 24 6 5 35
NO. OF QUESTIONS Any 20 Any 4 Any 3 Any 27
TO BE ANSWERED
TOTAL MARKS 1 x 20 = 20 2x4=8 4 x 3 = 12 40 MARKS

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CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)

Sample Question Paper for Class X (Session 2025-2026)
Max. Time: 2 Hours Max. Marks: 50

General Instructions:
1. Please read the instructions carefully.
2. This Question Paper consists of 21 questions in two sections: Section A & Section B.
3. Section A has Objective type questions whereas Section B contains Subjective type questions.
4. Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions in the allotted
(maximum) time of 2 hours.
5. All questions of a particular section must be attempted in the correct order.
6. SECTION A - OBJECTIVE TYPE QUESTIONS (24 MARKS):
i. This section has 05 questions.
ii. Marks allotted are mentioned against each question/part.
iii. There is no negative marking.
iv. Do as per the instructions given.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section has 16 questions.
ii. A candidate has to do 10 questions.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.

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SECTION A: OBJECTIVE TYPE QUESTIONS

Q. 1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)

i. Which type of non-verbal communication is shown by actions like raising a hand to 1
greet or pointing a finger at someone?
a) Facial Expression
b) Posture
c) Gesture
d) Eye Contact

ii. You take ownership of a task, complete it sincerely, and report honestly even if it is 1
delayed. Which of the following best describes this behaviour as one of the skills you
must master to succeed in life?
a) Self-awareness
b) Responsibility
c) Time management
d) Adaptability

iii. Which of the following is not one of the suggested steps to manage emotional 1
intelligence?
a) Making decisions purely based on emotions
b) Observing your own behaviour to understand your emotions
c) Practising meditation and yoga to stay calm
d) Thinking rationally before making decisions

iv. What is the action called when you place the mouse pointer over a file in File Explorer 1
and it displays the file’s details without clicking?
a) Click
b) Drag
c) Scroll
d) Hover

v. Sanjana opened a small grocery store in her neighbourhood. Despite competition 1
from nearby stores, her business attracted regular customers. Within a year, she
expanded her store and later opened four more branches across the city. She now
plans to expand to two more cities.
Which stage of the career or entrepreneurial process is she currently in?
a) Survive
b) Enter
c) Grow
d) Retire

vi. Donating things we do not use, such as clothes, books, furniture, or food, contributes 1
to which Sustainable Development Goal?
a) SDG 12 – Responsible Consumption and Production
b) SDG 3 – Good Health and Well-being
c) SDG 1 – No Poverty
d) SDG 4 – Quality Education

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Q. 2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. With respect to the type of data fed into the AI model, AI model can be broadly 1
classified into ____ domains.

ii. Assertion(A) : Virtue-based framework focuses on the character and intentions of 1
individuals involved in decision-making.
Reason (R): Virtue-based framework evaluates whether actions align with
principles such as honesty, compassion, and integrity.
a) Both A and R are correct, and R is the correct explanation of A
b) Both A and R are correct, but R is not the correct explanation of A
c) A is correct, but R is incorrect
d) A is incorrect, but R is correct

iii. A teacher uses a rule-based program to grade students' essays. The program was 1
trained to look for specific keywords and phrases to assign grades. However, when
students start using new words and expressions not included in the training, the
program gives incorrect grades.
What is the most likely reason for this issue?
a) The rule-based program was not trained on enough essays.
b) The rule-based approach is static and cannot adapt to new words or
expressions.
c) The students wrote essays that were too long.
d) The program was not tested properly.

iv. _______ is an integral part of the model development process that helps to find the 1
best model that represents our data and how well the chosen model will work in
the future.

v. _______ is mainly focused on enhancing raw input images or preparing them for 1
other tasks, such as rescaling, correcting brightness, or changing tones. It is a subset
of _______.
a) Computer Vision; Image Processing
b) Machine Learning; Artificial Intelligence
c) Image Processing; Computer Vision
d) Object Detection; Image Processing

vi. State True or False: In natural language, it is important to understand that a word 1
can have multiple meanings and the meanings fit into the statement according to
the context of it.

Q. 3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. A self-driving car fails to detect pedestrians crossing at night, resulting in a near 1
accident. Which domain of AI technology should be enhanced to improve safety?
a) Natural Language Processing
b) Statistical Data
c) Recommendation Systems
d) Computer Vision

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ii. 1

In the given fruit dataset, what do we call Fruit, Color and Price as?
a) Instances
b) Values
c) Models
d) Features

iii. In a spam email detection system, out of 1000 emails received, 300 are spam. 1
The system correctly identifies 240 spam emails as spam, but it also marks 60
legitimate emails as spam.
What is the precision of the system?
a) 0.80
b) 0.70
c) 0.75
d) 0.90

iv. Assertion (A): In machine learning, a model with lower error is considered to 1
perform better on a given dataset.
Reason (R): Error helps us evaluate how accurately a model can predict both
training and unseen data, which is why it is used to select the best-
performing model.
a) Both A and R are correct, and R is the correct explanation of A
b) Both A and R are correct, but R is not the correct explanation of A
c) A is correct, but R is incorrect
d) A is incorrect, but R is correct

v. Identify the application of Computer Vision from the 1
given picture:
a) Facial Recognition
b) CV in Retail
c) Medical Imaging
d) Face Filters

vi. Count and write the number of tokens in the sentence: 1
Words with adequate occurrence in a corpus are considered frequent and often
reflect the main subject of the document, unlike stop words whose frequency is
high but value is low.

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Q. 4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. What do frameworks provide in the context of problem-solving? 1
a) Step-by-step guidance b) Random solutions
c) Legal advice d) Ethical justifications

ii. Statement 1: The testing data set is a collection of examples given to the model to 1
analyze and learn.
Statement 2: The training data set is used to test the accuracy of the model.
Which of the following is correct?
a) Both Statement 1 and Statement 2 are correct.
b) Both Statement 1 and Statement 2 are incorrect.
c) Only Statement 1 is correct.
d) Only Statement 2 is correct.

iii. A company is using a simple AI model to screen job applicants for an entry-level 1
data analyst position. The model considers four key attributes, each assigned a
weight based on importance.

A bias value of 0.3 is added. The formula used is:
y=w1x1+w2x2+w3x3+w4x4+(1×b)
What will be the value of y for the given scenario?
a) 1.2
b) 1.4
c) 1.7
d) 2.0
*Note: Questions related to Perceptron will be asked in this objective (MCQ) format.

iv. Why is it not recommended to evaluate a machine learning model using the same 1
data on which it was trained?
a) It helps the model learn faster
b) It reduces bias in the dataset
c) It improves the performance of the model on unseen data
d) It may lead to overfitting and give an overly optimistic accuracy

v. The numbers 1280x1024, 1920x1080, and 640x480 represent the number of pixels 1
in width and height of an image or display. What is the correct term used to describe
this measurement?
a) Pixel Depth b) Resolution
c) Colour Depth d) Classification

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vi. 1
Identify the application of NLP shown
in the given picture:
a) Autogenerated captions
b) Sentiment Analysis
c) Text Classification
d) Keyword Extraction

Q. 5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. You are deciding to donate to a charity. One recipient is a local school in your 1
neighbourhood, while another is a school in a distant country. Which factor might
unconsciously influence your decision?
a) Location of the recipient
b) Design of the charity logo
c) Weather on the day of donation
d) The type of pen used to sign the donation form

ii. A house was predicted to cost ₹4,53,000, but the actual selling price was ₹4,88,000. 1
What is the error rate of this prediction (rounded to three decimal places)?
a) 0.058 b) 0.071 c) 0.092 d) 0.117

iii. The term that refers to the process of identifying 1
and locating real-world objects like faces,
bicycles, or buildings in images or videos, and is
used in applications such as image retrieval and
automated vehicle parking systems is _________.
a) Image Classification
b) Image Segmentation
c) Object Detection
d) Feature Extraction

iv. _________ is the outcome of the model wrongly predicting the negative class as
positive class.

v. Which type of bot is easy to create, works based on pre-written instructions, is 1
mostly free, easy to integrate with messaging platforms, requires little or no
language processing skills, and has limited functionality?
a) Script Bot b) Smart Bot c) Cleaning Bot d) Talbot

vi. What are the stemmed and lemmatized forms of the word 'flies'?
a) Stemmed: fly, Lemmatized: flies
b) Stemmed: fly, Lemmatized: fly
c) Stemmed: flies, Lemmatized: flies
d) Stemmed: fli, Lemmatized: fly

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SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)
Answer each question in 20 – 30 words.
Q. 6 What is a pronoun? Give an example. 2

Q. 7 List four steps to build self-motivation. 2

Q. 8 “Security break is leakage of information stored in a computer”. Explain two ways in 2
which personal information can be lost or leaked.

Q. 9 Reema runs a small handmade soap business. Every morning, she decides what 2
products to make, how many soaps to produce, and where to sell them. She also
arranges raw materials and assigns tasks to her staff.
From the paragraph, identify and write the two functions of an entrepreneur that
are being described.

Q. 10 What is organic farming? Mention any two benefits of practising organic farming. 2

Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
Q. 11 What do you do in the second and third stages of an AI Project cycle? 2

Q. 12 Identify the type of deep learning model. 2
a) This deep learning model processes input images by learning to assign
importance (weights and biases) to various features in the image, allowing it to
distinguish one object from another.
b) This deep learning model is inspired by the structure of the human brain. It can
automatically extract features from large datasets without explicit
programming. Each node in the network acts like a small machine learning
algorithm.

Q. 13 How is reinforcement learning different from supervised and unsupervised learning? 2

Q. 14 What is model evaluation in machine learning, and how does it help improve an AI 2
model?

Q. 15 What is a "byte image" format in the context of digital images? 2

Q. 16 Identify the stage of NLP and explain. 2
We are to the zoo going tomorrow.
We are going to the zoo tomorrow.

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Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
Q. 17 Read the case study below and answer the following questions: 4
A school develops an AI system to shortlist students for a competitive scholarship. The
algorithm is trained to prioritize students who complete online application forms
quickly — assuming that faster completion reflects confidence, competence, and tech-
savviness. However, students who are not fluent in English, or who do not have access
to a computer at home, take longer to fill out the form. As a result, many deserving
students are unfairly rejected by the algorithm.
a) Identify two reasons why the algorithm gave biased results.
b) Mention two bioethics principles that can help solve such a problem and explain
how they apply.

Q. 18 a) What is the name of the learning model that works with unlabeled data to 4
identify hidden patterns or structures in the data?
b) Name the two main categories of this learning model.
c) Explain each category briefly and provide one example for each.

Q. 19 Identify the name of the application of Machine Learning (ML) or Deep Learning (DL) 4
being used in the following scenarios.
a) A fitness tracker uses AI to monitor your heart rate and learn what is normal for
you. One evening, while you're relaxing and watching a horror movie, the tracker
suddenly flags a spike in your heart rate as an anomaly — thinking something
might be wrong.
b) A wildlife camera is equipped with AI to monitor animals in a forest. It not only
records movement of animals, but also identifies and classifies them into
categories like “bird”, “mammal”, “insect”, etc.,
c) A smart refrigerator is equipped with an internal camera and an AI system. One
of its door features a display screen that shows a real-time image of the inside,
capturing all the food items on various shelves. For each item, the system not
only shows its actual image but also places an AI-generated label on top of it, such
as: “Milk Carton”, “Apple”, “Ice Cream”.
d) Imagine an app that helps you unlock your bike. Instead of typing a password,
you simply scribble a numerical code like “5281” on your phone screen using your
finger — even if your handwriting is a bit messy after a tough workout.

Q. 20 Read the following paragraph and answer the questions that follow: 4
A school recently tested an AI model designed to predict whether students would
pass or fail their final exams. Out of 100 students, the model correctly predicted that
40 students would pass and they actually did. It also correctly identified 30 students
who were going to fail. However, the model predicted that 20 students would pass,
but they ended up failing. Additionally, it predicted that 10 students would fail, but
they actually passed.
a) Draw the confusion matrix based on the above information. (2)
b) Calculate the accuracy of this classification model. Show your working. (1)
c) Write the total number of wrong predictions made by the model. (1)

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Q. 21 Read the following three documents and answer the questions that follow: 4
● Document 1: "Students love studying AI"
● Document 2: "AI is transforming education"
● Document 3: "Teachers and students explore AI tools"
After performing basic text pre-processing (removing punctuation, converting to
lowercase, and tokenizing), the documents become:
● Document 1: [students, love, studying, ai]
● Document 2: [ai, is, transforming, education]
● Document 3: [teachers, and, students, explore, ai, tools]
Questions:
a) Create the dictionary (vocabulary) of unique words from all three documents.
b) Construct the document vector for Document 3 using the dictionary.
c) Explain how Bag of Words help in feature extraction.
d) Why is the order of words not considered important in Bag of Words?

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Study Materials
Notes

Model Papers Class 6 Notes

Sample Papers Class 7 Notes
Half Yearly Sample Papers Class 8 Notes

Class 9 Notes
Important Resources
Class 10 Notes
Periodic Table
Class 11 Notes
Writing Skills / Formats

Maps of India / World Class 12 Notes

Books and Solutions

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HC Verma Chapter Wise Solutions
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